Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities

Yodefia Rahmad , Fredrik Hedenus , Jessica Jewell , Vadim Vinichenko
{"title":"Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities","authors":"Yodefia Rahmad ,&nbsp;Fredrik Hedenus ,&nbsp;Jessica Jewell ,&nbsp;Vadim Vinichenko","doi":"10.1016/j.rset.2025.100104","DOIUrl":null,"url":null,"abstract":"<div><div>Deployment of new onshore wind power faces challenges due to growing resistance, prompting increased interest in the development of effective deployment strategies. One approach is to examine historical deployment to identify factors shaping its distribution within a country. Current literature presents inconsistent results and lacks theoretically grounded approaches. This study enhanced the methodology for analyzing subnational wind deployment in two ways. First, techno-economic, socio-technical, and political perspectives from national energy transition literature were employed to identify relevant deployment mechanisms. Second, the approach differentiated between small-scale and large-scale wind power to avoid conflating results from obsolete technologies. The method is piloted in Sweden where wind deployment varied significantly despite nationwide policies. Findings from Sweden suggest that subnational heterogeneity of wind deployment at the municipality level is not primarily determined by techno-economic factors, but also by socio-technical and political variables. Deployment mechanisms also evolved over time, possibly due to technological upscaling. Small-scale wind power (≤1.5 MW) leveraged agricultural land and accumulated local experience, while large-scale wind power (&gt;1.5 MW) is correlated with political variables such as siting policy and voter turnout. Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. Findings from Sweden can inform hypotheses for evaluation in other countries and future research can extend the proposed analytical framework to different national contexts.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100104"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable and Sustainable Energy Transition","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667095X25000029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Deployment of new onshore wind power faces challenges due to growing resistance, prompting increased interest in the development of effective deployment strategies. One approach is to examine historical deployment to identify factors shaping its distribution within a country. Current literature presents inconsistent results and lacks theoretically grounded approaches. This study enhanced the methodology for analyzing subnational wind deployment in two ways. First, techno-economic, socio-technical, and political perspectives from national energy transition literature were employed to identify relevant deployment mechanisms. Second, the approach differentiated between small-scale and large-scale wind power to avoid conflating results from obsolete technologies. The method is piloted in Sweden where wind deployment varied significantly despite nationwide policies. Findings from Sweden suggest that subnational heterogeneity of wind deployment at the municipality level is not primarily determined by techno-economic factors, but also by socio-technical and political variables. Deployment mechanisms also evolved over time, possibly due to technological upscaling. Small-scale wind power (≤1.5 MW) leveraged agricultural land and accumulated local experience, while large-scale wind power (>1.5 MW) is correlated with political variables such as siting policy and voter turnout. Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. Findings from Sweden can inform hypotheses for evaluation in other countries and future research can extend the proposed analytical framework to different national contexts.
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信